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272 results on '"Yasuda, Clarissa Lin"'

1. A worldwide study of white matter microstructural alterations in people living with Parkinson’s disease

Author

Owens-Walton, Conor, Nir, Talia M., Al-Bachari, Sarah, Ambrogi, Sonia, Anderson, Tim J., Aventurato, Ítalo Karmann, Cendes, Fernando, Chen, Yao-Liang, Ciullo, Valentina, Cook, Phil, Dalrymple-Alford, John C., Dirkx, Michiel F., Druzgal, Jason, Emsley, Hedley C. A., Guimarães, Rachel, Haroon, Hamied A., Helmich, Rick C., Hu, Michele T., Johansson, Martin E., Kim, Ho Bin, Klein, Johannes C., Laansma, Max, Lawrence, Katherine E., Lochner, Christine, Mackay, Clare, McMillan, Corey T., Melzer, Tracy R., Nabulsi, Leila, Newman, Ben, Opriessnig, Peter, Parkes, Laura M., Pellicano, Clelia, Piras, Fabrizio, Piras, Federica, Pirpamer, Lukas, Pitcher, Toni L., Poston, Kathleen L., Roos, Annerine, Silva, Lucas Scárdua, Schmidt, Reinhold, Schwingenschuh, Petra, Shahid-Besanti, Marian, Spalletta, Gianfranco, Stein, Dan J., Thomopoulos, Sophia I., Tosun, Duygu, Tsai, Chih-Chien, van den Heuvel, Odile A., van Heese, Eva, Vecchio, Daniela, Villalón-Reina, Julio E., Vriend, Chris, Wang, Jiun-Jie, Wu, Yih-Ru, Yasuda, Clarissa Lin, Thompson, Paul M., Jahanshad, Neda, and van der Werf, Ysbrand

Published
2024
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2. Outcome predictors of post-COVID conditions in the European Academy of Neurology COVID-19 registry

Author

Leone, Maurizio Angelo, Helbok, Raimund, Bianchi, Elisa, Yasuda, Clarissa Lin, Konti, Maria, Ramankulov, Dauren, Lolich, Maria, Lovrencic-Huzjan, Arijana, Kovács, Tibor, Armon, Carmel, Cotelli, Maria Sofia, Cavallieri, Francesco, Grosu, Oxana, Kiteva-Trenchevska, Gordana, Rodriguez-Leyva, Ildefonso, Boldingh, Marion, Brola, Waldemar, Maia, Luís F., de Seabra, Mafalda Maria Laracho, Davidescu, Eugenia Irene, Popescu, Bogdan Ovidiu, Kopishinskaia, Svetlana, Bassetti, Claudio L. A., and Moro, Elena

Published
2024
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4. Event‐based modeling in temporal lobe epilepsy demonstrates progressive atrophy from cross‐sectional data

Author

Lopez, Seymour M, Aksman, Leon M, Oxtoby, Neil P, Vos, Sjoerd B, Rao, Jun, Kaestner, Erik, Alhusaini, Saud, Alvim, Marina, Bender, Benjamin, Bernasconi, Andrea, Bernasconi, Neda, Bernhardt, Boris, Bonilha, Leonardo, Caciagli, Lorenzo, Caldairou, Benoit, Caligiuri, Maria Eugenia, Calvet, Angels, Cendes, Fernando, Concha, Luis, Conde‐Blanco, Estefania, Davoodi‐Bojd, Esmaeil, de Bézenac, Christophe, Delanty, Norman, Desmond, Patricia M, Devinsky, Orrin, Domin, Martin, Duncan, John S, Focke, Niels K, Foley, Sonya, Fortunato, Francesco, Galovic, Marian, Gambardella, Antonio, Gleichgerrcht, Ezequiel, Guerrini, Renzo, Hamandi, Khalid, Ives‐Deliperi, Victoria, Jackson, Graeme D, Jahanshad, Neda, Keller, Simon S, Kochunov, Peter, Kotikalapudi, Raviteja, Kreilkamp, Barbara AK, Labate, Angelo, Larivière, Sara, Lenge, Matteo, Lui, Elaine, Malpas, Charles, Martin, Pascal, Mascalchi, Mario, Medland, Sarah E, Meletti, Stefano, Morita‐Sherman, Marcia E, Owen, Thomas W, Richardson, Mark, Riva, Antonella, Rüber, Theodor, Sinclair, Ben, Soltanian‐Zadeh, Hamid, Stein, Dan J, Striano, Pasquale, Taylor, Peter N, Thomopoulos, Sophia I, Thompson, Paul M, Tondelli, Manuela, Vaudano, Anna Elisabetta, Vivash, Lucy, Wang, Yujiang, Weber, Bernd, Whelan, Christopher D, Wiest, Roland, Winston, Gavin P, Yasuda, Clarissa Lin, McDonald, Carrie R, Alexander, Daniel C, Sisodiya, Sanjay M, Altmann, Andre, Bargalló, Núria, Bartolini, Emanuele, O’Brien, Terence J, and Thomas, Rhys H

Subjects
Brain Disorders, Epilepsy, Neurodegenerative, Neurosciences, Clinical Research, Biomedical Imaging, Aetiology, 2.1 Biological and endogenous factors, Neurological, Good Health and Well Being, Atrophy, Biomarkers, Cross-Sectional Studies, Epilepsy, Temporal Lobe, Hippocampus, Humans, Magnetic Resonance Imaging, Sclerosis, disease progression, duration of illness, event-based model, MTLE, patient staging, ENIGMA-Epilepsy Working Group, Clinical Sciences, Neurology & Neurosurgery
Abstract

ObjectiveRecent work has shown that people with common epilepsies have characteristic patterns of cortical thinning, and that these changes may be progressive over time. Leveraging a large multicenter cross-sectional cohort, we investigated whether regional morphometric changes occur in a sequential manner, and whether these changes in people with mesial temporal lobe epilepsy and hippocampal sclerosis (MTLE-HS) correlate with clinical features.MethodsWe extracted regional measures of cortical thickness, surface area, and subcortical brain volumes from T1-weighted (T1W) magnetic resonance imaging (MRI) scans collected by the ENIGMA-Epilepsy consortium, comprising 804 people with MTLE-HS and 1625 healthy controls from 25 centers. Features with a moderate case-control effect size (Cohen d ≥ .5) were used to train an event-based model (EBM), which estimates a sequence of disease-specific biomarker changes from cross-sectional data and assigns a biomarker-based fine-grained disease stage to individual patients. We tested for associations between EBM disease stage and duration of epilepsy, age at onset, and antiseizure medicine (ASM) resistance.ResultsIn MTLE-HS, decrease in ipsilateral hippocampal volume along with increased asymmetry in hippocampal volume was followed by reduced thickness in neocortical regions, reduction in ipsilateral thalamus volume, and finally, increase in ipsilateral lateral ventricle volume. EBM stage was correlated with duration of illness (Spearman ρ = .293, p = 7.03 × 10-16 ), age at onset (ρ = -.18, p = 9.82 × 10-7 ), and ASM resistance (area under the curve = .59, p = .043, Mann-Whitney U test). However, associations were driven by cases assigned to EBM Stage 0, which represents MTLE-HS with mild or nondetectable abnormality on T1W MRI.SignificanceFrom cross-sectional MRI, we reconstructed a disease progression model that highlights a sequence of MRI changes that aligns with previous longitudinal studies. This model could be used to stage MTLE-HS subjects in other cohorts and help establish connections between imaging-based progression staging and clinical features.

Published
2022

6. The ENIGMA‐Epilepsy working group: Mapping disease from large data sets

Author

Sisodiya, Sanjay M, Whelan, Christopher D, Hatton, Sean N, Huynh, Khoa, Altmann, Andre, Ryten, Mina, Vezzani, Annamaria, Caligiuri, Maria Eugenia, Labate, Angelo, Gambardella, Antonio, Ives‐Deliperi, Victoria, Meletti, Stefano, Munsell, Brent C, Bonilha, Leonardo, Tondelli, Manuela, Rebsamen, Michael, Rummel, Christian, Vaudano, Anna Elisabetta, Wiest, Roland, Balachandra, Akshara R, Bargalló, Núria, Bartolini, Emanuele, Bernasconi, Andrea, Bernasconi, Neda, Bernhardt, Boris, Caldairou, Benoit, Carr, Sarah JA, Cavalleri, Gianpiero L, Cendes, Fernando, Concha, Luis, Desmond, Patricia M, Domin, Martin, Duncan, John S, Focke, Niels K, Guerrini, Renzo, Hamandi, Khalid, Jackson, Graeme D, Jahanshad, Neda, Kälviäinen, Reetta, Keller, Simon S, Kochunov, Peter, Kowalczyk, Magdalena A, Kreilkamp, Barbara AK, Kwan, Patrick, Lariviere, Sara, Lenge, Matteo, Lopez, Seymour M, Martin, Pascal, Mascalchi, Mario, Moreira, José CV, Morita‐Sherman, Marcia E, Pardoe, Heath R, Pariente, Jose C, Raviteja, Kotikalapudi, Rocha, Cristiane S, Rodríguez‐Cruces, Raúl, Seeck, Margitta, Semmelroch, Mira KHG, Sinclair, Benjamin, Soltanian‐Zadeh, Hamid, Stein, Dan J, Striano, Pasquale, Taylor, Peter N, Thomas, Rhys H, Thomopoulos, Sophia I, Velakoulis, Dennis, Vivash, Lucy, Weber, Bernd, Yasuda, Clarissa Lin, Zhang, Junsong, Thompson, Paul M, McDonald, Carrie R, Abela, Eugenio, Absil, Julie, Adams, Sophia, Alhusaini, Saud, Alvim, Marina, Balestrini, Simona, Bender, Benjamin, Bergo, Felipe, Bernardes, Tauana, Calvo, Anna, Carreno, Mar, Cherubini, Andrea, David, Philippe, Davoodi‐Bojd, Esmaeil, Delanty, Norman, Depondt, Chantal, Devinsky, Orrin, Doherty, Colin, França, Wendy Caroline, Franceschet, Leticia, Hibar, Derrek P, Ishikawa, Akari, Kaestner, Erik, Langner, Soenke, Liu, Min, Mirandola, Laura, Naylor, Jillian, and Nazem‐Zadeh, Mohammad‐reza

Subjects
Brain Disorders, Biomedical Imaging, Neurosciences, Epilepsy, Neurodegenerative, 2.1 Biological and endogenous factors, Aetiology, Neurological, covariance, deep learning, DTI, event-based modeling, gene expression, genetics, imaging, MRI, quantitative, rsfMRI, ENIGMA Consortium Epilepsy Working Group, Cognitive Sciences, Experimental Psychology
Abstract

Epilepsy is a common and serious neurological disorder, with many different constituent conditions characterized by their electro clinical, imaging, and genetic features. MRI has been fundamental in advancing our understanding of brain processes in the epilepsies. Smaller-scale studies have identified many interesting imaging phenomena, with implications both for understanding pathophysiology and improving clinical care. Through the infrastructure and concepts now well-established by the ENIGMA Consortium, ENIGMA-Epilepsy was established to strengthen epilepsy neuroscience by greatly increasing sample sizes, leveraging ideas and methods established in other ENIGMA projects, and generating a body of collaborating scientists and clinicians to drive forward robust research. Here we review published, current, and future projects, that include structural MRI, diffusion tensor imaging (DTI), and resting state functional MRI (rsfMRI), and that employ advanced methods including structural covariance, and event-based modeling analysis. We explore age of onset- and duration-related features, as well as phenomena-specific work focusing on particular epilepsy syndromes or phenotypes, multimodal analyses focused on understanding the biology of disease progression, and deep learning approaches. We encourage groups who may be interested in participating to make contact to further grow and develop ENIGMA-Epilepsy.

Published
2022

7. Artificial intelligence for classification of temporal lobe epilepsy with ROI-level MRI data: A worldwide ENIGMA-Epilepsy study

Author

Gleichgerrcht, Ezequiel, Munsell, Brent C, Alhusaini, Saud, Alvim, Marina KM, Bargalló, Núria, Bender, Benjamin, Bernasconi, Andrea, Bernasconi, Neda, Bernhardt, Boris, Blackmon, Karen, Caligiuri, Maria Eugenia, Cendes, Fernando, Concha, Luis, Desmond, Patricia M, Devinsky, Orrin, Doherty, Colin P, Domin, Martin, Duncan, John S, Focke, Niels K, Gambardella, Antonio, Gong, Bo, Guerrini, Renzo, Hatton, Sean N, Kälviäinen, Reetta, Keller, Simon S, Kochunov, Peter, Kotikalapudi, Raviteja, Kreilkamp, Barbara AK, Labate, Angelo, Langner, Soenke, Larivière, Sara, Lenge, Matteo, Lui, Elaine, Martin, Pascal, Mascalchi, Mario, Meletti, Stefano, O'Brien, Terence J, Pardoe, Heath R, Pariente, Jose C, Rao, Jun Xian, Richardson, Mark P, Rodríguez-Cruces, Raúl, Rüber, Theodor, Sinclair, Ben, Soltanian-Zadeh, Hamid, Stein, Dan J, Striano, Pasquale, Taylor, Peter N, Thomas, Rhys H, Vaudano, Anna Elisabetta, Vivash, Lucy, von Podewills, Felix, Vos, Sjoerd B, Weber, Bernd, Yao, Yi, Yasuda, Clarissa Lin, Zhang, Junsong, Thompson, Paul M, Sisodiya, Sanjay M, McDonald, Carrie R, Bonilha, Leonardo, Group, ENIGMA-Epilepsy Working, Altmann, Andre, Depondt, Chantal, Galovic, Marian, Thomopoulos, Sophia I, and Wiest, Roland

Subjects
Biomedical Imaging, Neurodegenerative, Neurosciences, Brain Disorders, Prevention, Epilepsy, 2.1 Biological and endogenous factors, Aetiology, Neurological, Artificial Intelligence, Brain, Epilepsy, Temporal Lobe, Hippocampus, Humans, Magnetic Resonance Imaging, Sclerosis, Support Vector Machine, Temporal lobe epilepsy, Machine learning, Artificial inteligence, ENIGMA-Epilepsy Working Group
Abstract

Artificial intelligence has recently gained popularity across different medical fields to aid in the detection of diseases based on pathology samples or medical imaging findings. Brain magnetic resonance imaging (MRI) is a key assessment tool for patients with temporal lobe epilepsy (TLE). The role of machine learning and artificial intelligence to increase detection of brain abnormalities in TLE remains inconclusive. We used support vector machine (SV) and deep learning (DL) models based on region of interest (ROI-based) structural (n = 336) and diffusion (n = 863) brain MRI data from patients with TLE with ("lesional") and without ("non-lesional") radiographic features suggestive of underlying hippocampal sclerosis from the multinational (multi-center) ENIGMA-Epilepsy consortium. Our data showed that models to identify TLE performed better or similar (68-75%) compared to models to lateralize the side of TLE (56-73%, except structural-based) based on diffusion data with the opposite pattern seen for structural data (67-75% to diagnose vs. 83% to lateralize). In other aspects, structural and diffusion-based models showed similar classification accuracies. Our classification models for patients with hippocampal sclerosis were more accurate (68-76%) than models that stratified non-lesional patients (53-62%). Overall, SV and DL models performed similarly with several instances in which SV mildly outperformed DL. We discuss the relative performance of these models with ROI-level data and the implications for future applications of machine learning and artificial intelligence in epilepsy care.

Published
2021

8. Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging

Author

for the ENIGMA consortium, Zhao, Yuji, Laansma, Max A., van Heese, Eva M., Owens-Walton, Conor, Parkes, Laura M., Debove, Ines, Rummel, Christian, Wiest, Roland, Cendes, Fernando, Guimaraes, Rachel, Yasuda, Clarissa Lin, Wang, Jiun-Jie, Anderson, Tim J., Dalrymple-Alford, John C., Melzer, Tracy R., Pitcher, Toni L., Schmidt, Reinhold, Schwingenschuh, Petra, Garraux, Gäetan, Rango, Mario, Squarcina, Letizia, Al-Bachari, Sarah, Emsley, Hedley C. A., Klein, Johannes C., Mackay, Clare E., Dirkx, Michiel F., Helmich, Rick, Assogna, Francesca, Piras, Fabrizio, Bright, Joanna K., Spalletta, Gianfranco, Poston, Kathleen, Lochner, Christine, McMillan, Corey T., Weintraub, Daniel, Druzgal, Jason, Newman, Benjamin, Van Den Heuvel, Odile A., Jahanshad, Neda, Thompson, Paul M., van der Werf, Ysbrand D., Gutman, Boris, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Abdulkadir, Ahmed, editor, Bathula, Deepti R., editor, Dvornek, Nicha C., editor, Habes, Mohamad, editor, Kia, Seyed Mostafa, editor, Kumar, Vinod, editor, and Wolfers, Thomas, editor

Published
2022
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9. Texture Analysis in Volumetric Imaging for Dentomaxillofacial Radiology: Transforming Diagnostic Approaches and Future Directions.

Author

Barioni, Elaine Dinardi, Lopes, Sérgio Lúcio Pereira de Castro, Silvestre, Pedro Ribeiro, Yasuda, Clarissa Lin, and Costa, Andre Luiz Ferreira

Abstract

This narrative review explores texture analysis as a valuable technique in dentomaxillofacial diagnosis, providing an advanced method for quantification and characterization of different image modalities. The traditional imaging techniques rely primarily on visual assessment, which may overlook subtle variations in tissue structure. In contrast, texture analysis uses sophisticated algorithms to extract quantitative information from imaging data, thus offering deeper insights into the spatial distribution and relationships of pixel intensities. This process identifies unique "texture signatures", serving as markers for accurately characterizing tissue changes or pathological processes. The synergy between texture analysis and radiomics allows radiologists to transcend traditional size-based or semantic descriptors, offering a comprehensive understanding of imaging data. This method enhances diagnostic accuracy, particularly for the assessment of oral and maxillofacial pathologies. The integration of texture analysis with radiomics expands the potential for precise tissue characterization by moving beyond the limitations of human eye evaluations. This article reviews the current trends and methodologies in texture analysis within the field of dentomaxillofacial imaging, highlights its practical applications, and discusses future directions for research and dental clinical practice. [ABSTRACT FROM AUTHOR]

Published
2024
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14. A Worldwide Study of White Matter Microstructural Alterations in People Living with Parkinson’s Disease

Author

Owens-Walton, Conor, primary, Nir, Talia M., additional, Al-Bachari, Sarah, additional, Ambrogi, Sonia, additional, Anderson, Tim J., additional, Aventurato, Ítalo Karmann, additional, Cendes, Fernando, additional, Chen, Yao-Liang, additional, Ciullo, Valentina, additional, Cook, Phil, additional, Dalrymple-Alford, John C., additional, Dirkx, Michiel F., additional, Druzgal, Jason, additional, Emsley, Hedley C. A., additional, Guimarães, Rachel, additional, Haroon, Hamied A., additional, Helmich, Rick C., additional, Hu, Michele T., additional, Johansson, Martin E., additional, Kim, Ho Bin, additional, Klein, Johannes C., additional, Laansma, Max, additional, Lawrence, Katherine E., additional, Lochner, Christine, additional, Mackay, Clare, additional, McMillan, Corey, additional, Melzer, Tracy R., additional, Nabulsi, Leila, additional, Newman, Ben, additional, Opriessnig, Peter, additional, Parkes, Laura M., additional, Pellicano, Clelia, additional, Piras, Fabrizio, additional, Piras, Federica, additional, Pirpamer, Lukas, additional, Pitcher, Toni L., additional, Poston, Kathleen L., additional, Roos, Annerine, additional, Silva, Lucas Scárdua, additional, Schmidt, Reinhold, additional, Schwingenschuh, Petra, additional, Shahid, Marian, additional, Spalletta, Gianfranco, additional, Stein, Dan J., additional, Thomopoulos, Sophia I., additional, Tosun, Duygu, additional, Tsai, Chih-Chien, additional, van den Heuvel, Odile A., additional, van Heese, Eva, additional, Vecchio, Daniela, additional, Villalón-Reina, Julio E., additional, Vriend, Chris, additional, Wang, Jiun-Jie, additional, Wu, Yih-Ru, additional, Yasuda, Clarissa Lin, additional, Thompson, Paul M., additional, Jahanshad, Neda, additional, and van der Werf, Ysbrand, additional

Published
2024
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15. Outcomes in Patients With Poststroke Seizures

Author

Misra, Shubham, primary, Kasner, Scott E., additional, Dawson, Jesse, additional, Tanaka, Tomotaka, additional, Zhao, Yize, additional, Zaveri, Hitten P., additional, Eldem, Ece, additional, Vazquez, Juan, additional, Silva, Lucas Scárdua, additional, Mohidat, Saba, additional, Hickman, L. Brian, additional, Khan, Erum I., additional, Funaro, Melissa C., additional, Nicolo, John-Paul, additional, Mazumder, Rajarshi, additional, Yasuda, Clarissa Lin, additional, Sunnerhagen, Katharina S., additional, Ihara, Masafumi, additional, Ross, Joseph S., additional, Liebeskind, David S., additional, Kwan, Patrick, additional, Quinn, Terence J., additional, Engel, Jerome, additional, and Mishra, Nishant K., additional

Published
2023
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16. Cortical Envelope Modeling for Interactive Patient-Customized Curvilinear Reformatting in the Native Space

Author

Loos, Wallace Souza, Yasuda, Clarissa Lin, Cendes, Fernando, Wu, Shin-Ting, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Cardoso, M. Jorge, editor, Arbel, Tal, editor, Tavares, João Manuel R.S., editor, Aylward, Stephen, editor, Li, Shuo, editor, Boctor, Emad, editor, Fichtinger, Gabor, editor, Cleary, Kevin, editor, Freeman, Bradley, editor, Kohli, Luv, editor, Shipley Kane, Deborah, editor, Oetgen, Matt, editor, and Pujol, Sonja, editor

Published
2017
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17. Case report: Granzyme-B expression by T- and B- cells during severe AQP4-positive Neuromyelitis Optica spectrum disorder with fatal venous thromboembolism outcome

Author

Boldrini, Vinícius Oliveira, primary, Brito, Mariana Rabelo, additional, Quintiliano, Raphael Patrício Silva, additional, Scárdua Silva, Lucas, additional, Yasuda, Clarissa Lin, additional, Cendes, Fernando, additional, Farias, Alessandro Santos, additional, and Damasceno, Alfredo, additional

Published
2023
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23. Cognitive impairment in post-acute COVID-19 syndrome: a scoping review.

Author

Cipolli, Gabriela Cabett, Alonso, Vanessa, Yasuda, Clarissa Lin, de Assumpção, Daniela, Cachioni, Meire, Caldeira de Melo, Ruth, Hinsliff-Smith, Kathryn, and Sanches Yassuda, Mônica

Abstract

Copyright of Arquivos de Neuro-Psiquiatria is the property of Thieme Medical Publishing Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2023
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24. Transcriptome analyses of the cortex and white matter of focal cortical dysplasia type II: Insights into pathophysiology and tissue characterization

Author

Assis-Mendonça, Guilherme Rossi, primary, Athié, Maria Carolina Pedro, additional, Tamanini, João Vitor Gerdulli, additional, Souza, Arethusa de, additional, Zanetti, Gabriel Gerardini, additional, Araújo, Patrícia Aline Oliveira Ribeiro de Aguiar, additional, Ghizoni, Enrico, additional, Tedeschi, Helder, additional, Alvim, Marina Koutsodontis Machado, additional, Almeida, Vanessa Simão de, additional, de Souza, Welliton, additional, Coras, Roland, additional, Yasuda, Clarissa Lin, additional, Blümcke, Ingmar, additional, Vieira, André Schwambach, additional, Cendes, Fernando, additional, Lopes-Cendes, Iscia, additional, and Rogerio, Fabio, additional

Published
2023
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25. Impact of Genetic polymorphisms on the risk of epilepsy amongst patients with acute brain injury: a systematic review

Author

Misra, Shubham, primary, Quinn, Terence J., additional, Falcone, Guido J., additional, Sharma, Vijay K., additional, de Havenon, Adam, additional, Zhao, Yize, additional, Eldem, Ece, additional, French, Jacqueline A., additional, Yasuda, Clarissa Lin, additional, Dawson, Jesse, additional, Liebeskind, David S., additional, Kwan, Patrick, additional, and Mishra, Nishant K., additional

Published
2023
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26. BLYS LEVELS ARE ELEVATED IN SLE PATIENTS WITH NEUROPSYCHIATRIC MANIFESTATIONS

Author

Alencar, Ana Carolina Londe Capelli, primary, Mazzola, Taís Nitsch, additional, Sepresse, Samara Rosa, additional, Aquino, Bruna Martins de, additional, Teixeira, Isadora de Melo, additional, Ribeiro, Isadora Cristina, additional, Rizzi, Liara, additional, Aventurato, Ítalo Karmann, additional, Silva, Marjorie Cristina Rocha da, additional, Balthazar, Marcio Luiz Figueredo, additional, Costallat, Lilian Tereza Lavras, additional, Marini, Roberto, additional, Silva, Luciana Ramalho Pimentel, additional, Yasuda, Clarissa Lin, additional, Cendes, Fernando, additional, Niewold, Timothy, additional, and Appenzeller, Simone, additional

Published
2023
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27. Comparative features and outcomes of major neurological complications of COVID-19

Author

Beghi, Ettore, Moro, Elena, Davidescu, Eugenia Irene, Popescu, Bogdan Ovidiu, Grosu, Oxana, Valzania, Franco, Cotelli, Maria Sofia, Kiteva-Trenchevska, Gordana, Zakharova, Maria, Kovács, Tibor, Armon, Carmel, Brola, Waldemar, Yasuda, Clarissa Lin, Maia, Luís F, Lovrencic-Huzjan, Arijana, de Seabra, Mafalda Maria Laracho, Avalos-Pavon, Rafael, Aamodt, Anne Hege, Meoni, Sara, Gryb, Victoria, Ozturk, Serefnur, Karadas, Omer, Krehan, Ingomar, Leone, Maurizio A, Lolich, Maria, Bianchi, Elisa, Rass, Verena, Helbok, Raimund, and Bassetti, Claudio L A

Subjects
610 Medicine & health
Abstract

BACKGROUND AND PURPOSE The aim of this study was to assess the neurological complications of SARS-CoV-2 infection and compare phenotypes and outcomes in infected patients with and without selected neurological manifestations. METHODS The data source was a registry established by the European Academy of Neurology during the first wave of the COVID-19 pandemic. Neurologists collected data on patients with COVID-19 seen as in- and outpatients and in emergency rooms in 23 European and seven non-European countries. Prospective and retrospective data included patient demographics, lifestyle habits, comorbidities, main COVID-19 complications, hospital and intensive care unit admissions, diagnostic tests, and outcome. Acute/subacute selected neurological manifestations in patients with COVID-19 were analysed, comparing individuals with and without each condition for several risk factors. RESULTS By July 31, 2021, 1523 patients (758 men, 756 women, and nine intersex/unknown, aged 16-101 years) were registered. Neurological manifestations were diagnosed in 1213 infected patients (79.6%). At study entry, 978 patients (64.2%) had one or more chronic general or neurological comorbidities. Predominant acute/subacute neurological manifestations were cognitive dysfunction (N = 449, 29.5%), stroke (N = 392, 25.7%), sleep-wake disturbances (N = 250, 16.4%), dysautonomia (N = 224, 14.7%), peripheral neuropathy (N = 145, 9.5%), movement disorders (N = 142, 9.3%), ataxia (N = 134, 8.8%), and seizures (N = 126, 8.3%). These manifestations tended to differ with regard to age, general and neurological comorbidities, infection severity and non-neurological manifestations, extent of association with other acute/subacute neurological manifestations, and outcome. CONCLUSIONS Patients with COVID-19 and neurological manifestations present with distinct phenotypes. Differences in age, general and neurological comorbidities, and infection severity characterize the various neurological manifestations of COVID-19.

Published
2023
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28. Functional and microstructural brain abnormalities, fatigue, and cognitive dysfunction after mild COVID-19

Author

Scardua-Silva, Lucas, primary, Joao, Rafael Batista, additional, Nogueira, Mateus Henrique, additional, Aventurato, Italo Karmann, additional, de Campos, Brunno Machado, additional, de Brito, Mariana Rabelo, additional, Alvim, Marina Koutsodontis Machado, additional, Ludwig, Guilherme Vieira Nunes, additional, Rocha, Cristiane, additional, Souza, Thierry Kaue Alves Silva, additional, Costa, Beatriz Amorim da, additional, Mendes, Maria Julia, additional, Waku, Takeshi, additional, Boldrini, Vinicius Oliveira, additional, Brunetti, Natália Silva, additional, Baptista, Sophia Nora, additional, Schmitt, Gabriel Silva, additional, de Sousa, Jhulia Gabriela Duarte, additional, Cardoso, Tânia Aparecida Marchiori Oliveira, additional, Vieira, André Schwambach, additional, Santos, Leonilda Maria Barbosa, additional, Farias, Alessandro, additional, Cendes, Fernando, additional, and Yasuda, Clarissa Lin, additional

Published
2022
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30. Brain microstructural changes and fatigue after COVID-19

Author

Bispo, Diógenes Diego de Carvalho, primary, Brandão, Pedro Renato de Paula, additional, Pereira, Danilo Assis, additional, Maluf, Fernando Bisinoto, additional, Dias, Bruna Arrais, additional, Paranhos, Hugo Rafael, additional, von Glehn, Felipe, additional, de Oliveira, Augusto César Penalva, additional, Regattieri, Neysa Aparecida Tinoco, additional, Silva, Lucas Scardua, additional, Yasuda, Clarissa Lin, additional, Soares, Alexandre Anderson de Sousa Munhoz, additional, and Descoteaux, Maxime, additional

Published
2022
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35. My journey after a mild infection with COVID-19: I want my old brain back

Author

Yasuda, Clarissa Lin

Subjects
Fadiga, Post-COVID Syndrome, COVID-19, Cognitive Dysfunction, Fatigue, Disfunção Cognitiva, Síndrome Pós-COVID
Abstract

Although neurocognitive dysfunction has been observed after infection by SARS-CoV-2, few studies have detailed these alterations or demonstrated their impact on daily life activities and work. Here, I describe the sequence of events following a mild COVID-19 infection in August 2020 (which now is described as “post-COVID syndrome”) and comment on my ensuing limitations associated with cognitive difficulties, headache, fatigue and sleepiness. Furthermore, I discuss the efforts that I have made to recover from my infection since its beginning and the strategies adopted for living with persistent restrictions in terms of cognitive performance. RESUMO Embora a disfunção neurocognitiva tenha sido observada após a infecção por SARS-Cov2, poucos estudos detalharam essas alterações ou demonstraram seu impacto nas atividades de vida diária e trabalho. Aqui eu descrevo a sequência de eventos após uma infecção leve por COVID-19 em agosto de 2020 (agora considerada Síndrome pós-COVID) e comento as limitações associadas às dificuldades cognitivas, dor de cabeça, fadiga e sonolência. Além disso, eu caracterizo o esforço de recuperação desde o início e as estratégias para conviver com restrições persistentes em termos de desempenho cognitivo.

Published
2022

36. Transcriptome analyses of the cortex and white matter of focal cortical dysplasia type II: insights into disease mechanisms and tissue characterization

Author

Assis-Mendonça, Guilherme Rossi, primary, Pedro Athié, Maria Carolina, additional, Gerdulli Tamanini, João Vitor, additional, de Souza, Arethusa, additional, Zanetti, Gabriel Gerardini, additional, de Aguiar Araújo, Patrícia Aline Oliveira Ribeiro, additional, Ghizoni, Enrico, additional, Tedeschi, Helder, additional, Machado Alvim, Marina Koutsodontis, additional, de Almeida, Vanessa Simão, additional, de Souza, Welliton, additional, Coras, Roland, additional, Yasuda, Clarissa Lin, additional, Blümcke, Ingmar, additional, Vieira, André Schwambach, additional, Cendes, Fernando, additional, Lopes-Cendes, Iscia, additional, and Rogerio, Fabio, additional

Published
2022
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37. Brain microstructural changes and fatigue after COVID-19

Author

de Carvalho Bispo, Diógenes Diego, primary, de Paula Brandão, Pedro Renato, additional, Pereira, Danilo Assis, additional, Maluf, Fernando Bisinoto, additional, Dias, Bruna Arrais, additional, Paranhos, Hugo Rafael, additional, Glehn, Felipe von, additional, de Oliveira, Augusto César Penalva, additional, Regattieri, Neysa Aparecida Tinoco, additional, Silva, Lucas Scardua, additional, Yasuda, Clarissa Lin, additional, de Sousa Munhoz Soares, Alexandre Anderson, additional, and Descoteaux, Maxime, additional

Published
2022
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38. My journey after a mild infection with COVID-19: I want my old brain back

Author

Yasuda,Clarissa Lin

Subjects
Post-COVID Syndrome, COVID-19, Cognitive Dysfunction, Fatigue
Abstract

Although neurocognitive dysfunction has been observed after infection by SARS-CoV-2, few studies have detailed these alterations or demonstrated their impact on daily life activities and work. Here, I describe the sequence of events following a mild COVID-19 infection in August 2020 (which now is described as “post-COVID syndrome”) and comment on my ensuing limitations associated with cognitive difficulties, headache, fatigue and sleepiness. Furthermore, I discuss the efforts that I have made to recover from my infection since its beginning and the strategies adopted for living with persistent restrictions in terms of cognitive performance.

Published
2022

40. The ENIGMA‐Epilepsy working group: Mapping disease from large data sets

Author

Sisodiya, Sanjay M., Whelan, Christopher D., Hatton, Sean N., Huynh, Khoa, Altmann, Andre, Ryten, Mina, Vezzani, Annamaria, Caligiuri, Maria Eugenia, Labate, Angelo, Gambardella, Antonio, Ives‐Deliperi, Victoria, Meletti, Stefano, Munsell, Brent C., Bonilha, Leonardo, Tondelli, Manuela, Rebsamen, Michael, Rummel, Christian, Vaudano, Anna Elisabetta, Wiest, Roland, Balachandra, Akshara R., Bargalló, Núria, Bartolini, Emanuele, Bernasconi, Andrea, Bernasconi, Neda, Bernhardt, Boris, Caldairou, Benoit, Carr, Sarah J.A., Cavalleri, Gianpiero L., Cendes, Fernando, Concha, Luis, Desmond, Patricia M., Domin, Martin, Duncan, John S., Focke, Niels K., Guerrini, Renzo, Hamandi, Khalid, Jackson, Graeme D., Jahanshad, Neda, Kälviäinen, Reetta, Keller, Simon S., Kochunov, Peter, Kowalczyk, Magdalena A., Kreilkamp, Barbara A.K., Kwan, Patrick, Lariviere, Sara, Lenge, Matteo, Lopez, Seymour M., Martin, Pascal, Mascalchi, Mario, Moreira, José C.V., Morita‐Sherman, Marcia E., Pardoe, Heath R., Pariente, Jose C., Raviteja, Kotikalapudi, Rocha, Cristiane S., Rodríguez‐Cruces, Raúl, Seeck, Margitta, Semmelroch, Mira K.H.G., Sinclair, Benjamin, Soltanian‐Zadeh, Hamid, Stein, Dan J., Striano, Pasquale, Taylor, Peter N., Thomas, Rhys H., Thomopoulos, Sophia I., Velakoulis, Dennis, Vivash, Lucy, Weber, Bernd, Yasuda, Clarissa Lin, Zhang, Junsong, Thompson, Paul M., McDonald, Carrie R., Abela, Eugenio, Absil, Julie, Adams, Sophia, Alhusaini, Saud, Alvim, Marina, Balestrini, Simona, Bender, Benjamin, Bergo, Felipe, Bernardes, Tauana, Calvo, Anna, Carreno, Mar, Cherubini, Andrea, David, Philippe, Davoodi‐Bojd, Esmaeil, Delanty, Norman, Depondt, Chantal, Devinsky, Orrin, Doherty, Colin, França, Wendy Caroline, Franceschet, Leticia, Hibar, Derrek P., Ishikawa, Akari, Kaestner, Erik, Langner, Soenke, Liu, Min, Mirandola, Laura, Naylor, Jillian, Nazem‐Zadeh, Mohammad‐reza, O'Brien, Terence J., Ribeiro, Letícia F., Richardson, Mark, Rosenow, Felix, Severino, Mariasavina, Shuai, Chen, Tortora, Domenico, von Podewils, Felix, Vos, Sjoerd B., Wagner, Jan, and Zhang, Guohao

Subjects
Connectomics, Disease, Review Article, rsfMRI, 050105 experimental psychology, 03 medical and health sciences, Epilepsy, 0302 clinical medicine, Neuroimaging, quantitative, Medical imaging, medicine, 0501 psychology and cognitive sciences, Radiology, Nuclear Medicine and imaging, genetics, Review Articles, Cognitive science, Radiological and Ultrasound Technology, Resting state fMRI, event-based modeling, covariance, deep learning, DTI, gene expression, imaging, MRI, 05 social sciences, event‐based modeling, medicine.disease, Neurology, Epilepsy syndromes, Neurology (clinical), Anatomy, Age of onset, 030217 neurology & neurosurgery
Abstract

Epilepsy is a common and serious neurological disorder, with many different constituent conditions characterized by their electro clinical, imaging, and genetic features. MRI has been fundamental in advancing our understanding of brain processes in the epilepsies. Smaller‐scale studies have identified many interesting imaging phenomena, with implications both for understanding pathophysiology and improving clinical care. Through the infrastructure and concepts now well‐established by the ENIGMA Consortium, ENIGMA‐Epilepsy was established to strengthen epilepsy neuroscience by greatly increasing sample sizes, leveraging ideas and methods established in other ENIGMA projects, and generating a body of collaborating scientists and clinicians to drive forward robust research. Here we review published, current, and future projects, that include structural MRI, diffusion tensor imaging (DTI), and resting state functional MRI (rsfMRI), and that employ advanced methods including structural covariance, and event‐based modeling analysis. We explore age of onset‐ and duration‐related features, as well as phenomena‐specific work focusing on particular epilepsy syndromes or phenotypes, multimodal analyses focused on understanding the biology of disease progression, and deep learning approaches. We encourage groups who may be interested in participating to make contact to further grow and develop ENIGMA‐Epilepsy.

Published
2020

41. Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging

Author

Zhao, Yuji, Laansma, Max A., van Heese, Eva M., Owens-Walton, Conor, Parkes, Laura M., Debove, Ines, Rummel, Christian, Wiest, Roland, Cendes, Fernando, Guimaraes, Rachel, Yasuda, Clarissa Lin, Wang, Jiun-Jie, Anderson, Tim J., Dalrymple-Alford, John C., Melzer, Tracy R., Pitcher, Toni L., Schmidt, Reinhold, Schwingenschuh, Petra, Garraux, Gäetan, Rango, Mario, Squarcina, Letizia, Al-Bachari, Sarah, Emsley, Hedley C. A., Klein, Johannes C., Mackay, Clare E., Dirkx, Michiel F., Helmich, Rick, Assogna, Francesca, Piras, Fabrizio, Bright, Joanna K., Spalletta, Gianfranco, Poston, Kathleen, Lochner, Christine, McMillan, Corey T., Weintraub, Daniel, Druzgal, Jason, Newman, Benjamin, Van Den Heuvel, Odile A., Jahanshad, Neda, Thompson, Paul M., van der Werf, Ysbrand D., and Gutman, Boris

Subjects
610 Medicine & health
Published
2022
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42. Circulating Metabolites as Biomarkers of Disease and Pharmacoresistance in Patients with Mesial Temporal Lobe Epilepsy

Author

Godoi, Alexandre B., primary, do Canto, Amanda M., additional, Donatti, Amanda, additional, Rosa, Douglas C., additional, Bruno, Danielle do Carmo Ferreira, additional, Alvim, Marina K., additional, Yasuda, Clarissa Lin, additional, Martins, Lucas G., additional, Escobar, Melissa Quintero, additional, Tasic, Ljubica, additional, Cendes, Fernando, additional, and Lopes-Cendes, Iscia, additional

Published
2022
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46. Histopathological Correlations of Qualitative and Quantitative Temporopolar MRI Analyses in Patients With Hippocampal Sclerosis

Author

Zaidan, Bruna Cunha, primary, Cardoso, Ingrid Carolina da Silva, additional, Campos, Brunno Machado de, additional, Silva, Luciana Ramalho Pimentel da, additional, Coelho, Vanessa C. Mendes, additional, Silveira, Kairo Alexandre Alves, additional, Amorim, Bárbara Juarez, additional, Alvim, Marina Koutsodontis Machado, additional, Tedeschi, Helder, additional, Yasuda, Clarissa Lin, additional, Ghizoni, Enrico, additional, Cendes, Fernando, additional, and Rogerio, Fabio, additional

Published
2021
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48. Comparação prospectiva entre o tratamento clínico e o tratamento cirúrgico para epilepsia de lobo temporal mesial

Author

Yasuda, Clarissa Lin, 1975, Cendes, Fernando, 1962, Tedeschi, Helder, 1960, Sakamoto, Americo Ceike, Machado, Helio Rubens, Falcão, Alexandre Xavier, Salgado, Priscila Camile Barioni, Universidade Estadual de Campinas. Faculdade de Ciências Médicas, Programa de Pós-Graduação em Ciências Médicas, and UNIVERSIDADE ESTADUAL DE CAMPINAS

Subjects
Cirurgia, Morphometry, Surgery, Mesial temporal lobe epilepsy, Epilepsia do lobo temporal mesial, Morfometria
Abstract

Orientadores: Fernando Cendes, Helder Tedeschi Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Ciencias Medicas Resumo: Objetivo: A cirurgia para pacientes com epilepsia de lobo temporal mesial refratária oferece um controle de crises para aproximadamente 70% dos pacientes. Neste estudo comparamos a eficácia entre o tratamento clínico e cirúrgico e investigamos a relação entre as alterações estruturais (atrofia de substância branca, SB e cinzenta, SC) nas imagens de ressonância magnética (RM) pré-operatórias e o resultado cirúrgico; bem como evidências estruturais de neuroplasticidade nas imagens de RM pós-operatórias. Métodos: Realizamos uma curva de sobrevivência de Kaplan-Meier para comparar a eficácia entre os dois tipos de tratamento, para o grupo clínico (85 pacientes, 30 mulheres) e grupo cirúrgico (46 pacientes, 16 mulheres). Avaliamos as imagens de RM através da técnica de Morfometria Baseada em Voxel com o software SPM2 (Statistical Parametric Mapping)/MATLAB 7.0, comparando pacientes com indivíduos normais através de um Teste-T. Para essa análise dividimos os pacientes operados em grupos de acordo com o controle de crises obtido. Para investigar as alterações plásticas pós-operatórias realizamos um teste-T pareado entre as imagens pré e pós-operatórias. Resultados: A análise de sobrevivência confirmou a superioridade do tratamento cirúrgico (84% de pacientes controlados) em longo razo em comparação ao tratamento medicamentoso (7% de pacientes controlados), p< 0,001. Os pacientes com melhor resultado cirúrgico apresentavam um padrão restrito de atrofia de SC em comparação aos pacientes com crises após a cirurgia. Apenas os pacientes controlados tiveram evidências de recuperação de SB e SC após a cirurgia. Conclusão: A cirurgia oferece um melhor controle de crises que o tratamento medicamentoso e a chance de recuperar áreas com atrofia de SB e SC. Abstract: Objective: Surgery for refractory mesial temporal lobe epilepsy (MTLE) generally offers good seizure control for approximately 70% of patients. In this study we compared the efficacy between surgical and clinical treatments and investigated the relationship between pre-operative structural abnormalities (white matter and grey matter atrophy) and surgical outcome. We also investigated the structural evidences of brain plasticity on post-operative MRI scans. Methods: We performed Kaplan-Meier survival analysis to compare the efficacy between surgical and medical groups. Clinical group included 85 patients (30 women) and the surgical group included 46 patients (16 women). We applied Voxel Based Morphometry technique on SPM2 (Statistical Parametric Mapping)/MATLAB 7.0 and compared patients with normal individuals with T-Test. For this analysis we separated patients according to post-operative surgical control. In order to investigate plastic changes after surgery we performed paired T-Test between pre and postoperative MR scans. Results: Survival analysis confirmed the superiority of surgical treatment for long-term seizure control (seizure control in 84% of patients) compared to medical treatment (seizure control in 7% of patients), p

Published
2021
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